scholarly journals A Multi-Objective Compounded Local Mobile Cloud Architecture Using Priority Queues to Process Multiple Jobs

PLoS ONE ◽  
2016 ◽  
Vol 11 (7) ◽  
pp. e0158491 ◽  
Author(s):  
Xiaohui Wei ◽  
Bingyi Sun ◽  
Jiaxu Cui ◽  
Gaochao Xu
Author(s):  
Asharul Islam ◽  
Anoop Kumar ◽  
Khalid Mohiuddin ◽  
Sadaf Yasmin ◽  
Mohammed Abdul Khaleel ◽  
...  

Author(s):  
Shantanu Pal

The use of mobile devices (e.g., smartphones, tablet computers, and PDAs) has steadily increased in recent years. At the same time the cloud-based applications have greatly enhanced the computing capabilities to these mobile devices. Therefore, the emergence of mobile-cloud technology is promising for offloading computations to the cloud. In this chapter we explore the state-of-the-art research in mobile-cloud technology and discuss the integration of the mobile devices and cloud-based applications. We begin by describing the mobile-cloud architecture and its functional components. Next, we explore the applications (e.g., education, healthcare, disaster management, etc.) and related challenges (e.g., bandwidth utilization, latency, connectivity, etc.) with the mobile-cloud technology. Finally, we outline the issues associated to these applications that need to be improved upon for delivering a more scalable and resource-enhanced mobile-cloud technology to the users.


Author(s):  
Amit Kore ◽  
Sashikant Dhamame ◽  
Dipak Mule ◽  
Nikhil Jigajani ◽  
Charudatta Pagare

We proposed and developed a Bike-sharing system that accepts bike passengers’ real-time ride requests sent from smart phones and schedules proper bikes to pick up them via ride sharing, subject to time, capacity, and monetary constraints. The monetary constraints provide incentives for both passengers and bike drivers. Passengers will not pay more compared with no ridesharing and get repayment if their travel time is long or extended due to ride sharing; bike drivers will make money for all the long way around distance due to ride sharing or they contribute money for petrol. While such a system is of important social and environmental benefit, e.g., saving energy consumption and satisfying people’s commute, getting minimum vehicles, saving petrol, saving environment, relieve traffic jam. Real-time bike-sharing has not been well studied yet. To this end, we plan a mobile-cloud architecture based bike-sharing system. Bike riders and bike drivers use the bike-sharing service provided by the system via a smart phone App. The GPS first finds candidate bike quickly for a bike ride request using a bike searching algorithm. A scheduling process is then performed in the cloud to select a bike that satisfies the request with minimum increase in travel distance.


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